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Coding · Intermediate

# Replayable agent trajectory debugger

Analyze step-by-step agent execution logs to detect logic loops and failed tool calls

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askSubmit agent execution trace
- ThenAnalyze replay steps and failures
- ResultReview diagnostic report and fixes

Inspect serialized execution traces from multi-step agent runs. The bot steps through recorded thoughts, tool calls, and environment observations to pinpoint reasoning failures, redundant loops, and invalid parameters, providing concrete suggestions to refine prompt structures and state transitions.

## Prompt to start with

BotBentoRecommended

```
Review agent execution logs provided in the chat or terminal. Parse each session step sequentially, identifying thoughts, tool invocations, and environment feedback. Highlight repeating loops, schema mismatches, or reasoning failures. Recommend adjusted prompt templates or state transitions to resolve issues. Always ask for user approval before modifying code files or updating repository settings.
```

Copy

## Tools it uses

TerminalGitHubNotes

## Works with

BotBento

## Tags

- agents
- debugging
- llm
- code-review

## Source

[TapeAgents: TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle](https://github.com/ServiceNow/TapeAgents)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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